Organic and graphene based chemically sensitive neuromorphic circuit

Sudhanva Vasishta; Xiao Wang; Calla McCulley; Raghunandan K.R.; Viswanathan T.R.; Ananth Dodabalapur

doi:10.1117/12.2597275

1 August 2021 Organic and graphene based chemically sensitive neuromorphic circuit

Sudhanva Vasishta, Xiao Wang, Calla McCulley, Raghunandan K.R., Viswanathan T.R., Ananth Dodabalapur

Author Affiliations +

Proceedings Volume 11810, Organic and Hybrid Sensors and Bioelectronics XIV; 118100T (2021) https://doi.org/10.1117/12.2597275
Event: SPIE Organic Photonics + Electronics, 2021, San Diego, California, United States

Abstract

Polymer, organic, and graphene based chemical sensors have shown excellent performance as chemical sensors. They can be chemically modified with receptor groups to provide additional sensitivity and selectivity. We propose and will demonstrate a three-synapse neuromorphic circuit for chemical sensing and olfactory pattern recognition. The circuit is implemented with 180 nm silicon technology and the sensing synapses can be incorporated in a back-end-of-the-line process on the silicon chip or be fabricated separately and electrically connected to the rest of the circuit. Our neuromorphic circuit is designed to be suited for analyzing mixtures of two analytes. We will present both simulation results and experimental data. The active sensing material for the sensing synapses can include conducting polymers such as PEDOT, monolayer graphene, reduced graphene oxide, copper phthalocyanine, as well as other materials.

Conference Presentation

Citation Download Citation

Sudhanva Vasishta, Xiao Wang, Calla McCulley, Raghunandan K.R., Viswanathan T.R., and Ananth Dodabalapur "Organic and graphene based chemically sensitive neuromorphic circuit", Proc. SPIE 11810, Organic and Hybrid Sensors and Bioelectronics XIV, 118100T (1 August 2021); https://doi.org/10.1117/12.2597275

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